{"id":"W2101348989","doi":"10.1186/1471-2105-11-s4-i1","title":"Proceedings of the ninth annual UT-ORNL-KBRIN Bioinformatics Summit 2010","year":2010,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge National Laboratory; Vanderbilt University; University of British Columbia; National Institutes of Health; University of Memphis; University of Louisville","keywords":"Summit; Library science; Session (web analytics); Political science; Oak Ridge National Laboratory; Medical education; Informatics; Medicine; World Wide Web; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009494513,0.0003876711,0.0003670269,0.00017479,0.0002277727,0.0001207501,0.001402647,0.0005769317,0.00006962531],"category_scores_gemma":[0.001082485,0.0002650468,0.0003147788,0.0004354346,0.0009632095,0.0000583488,0.000883061,0.000638633,0.0001294451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002027768,"about_ca_system_score_gemma":0.0004278015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001896677,"about_ca_topic_score_gemma":0.0001472939,"domain_scores_codex":[0.9967744,0.00001564701,0.001275297,0.0002164388,0.0009600676,0.0007581261],"domain_scores_gemma":[0.9974981,0.0000490579,0.0006072351,0.0007591755,0.000733621,0.0003528305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007054585,0.001278927,0.1215676,0.007702761,0.000660402,0.000001931129,0.008230702,0.0001463246,0.1820639,0.00554756,0.5676298,0.1044647],"study_design_scores_gemma":[0.004181329,0.001681848,0.03832388,0.0002767395,0.0001839695,0.0001396841,0.0129319,0.0857769,0.3719452,0.0005630037,0.481987,0.002008541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540724,0.0001066326,0.006107606,0.0006158276,0.002523273,0.001690562,0.0006609567,0.00008850183,0.03413424],"genre_scores_gemma":[0.5044504,0.0007411267,0.4768068,0.001882687,0.001644973,0.0001074584,0.0005223716,0.0001657667,0.0136784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4706992,"threshold_uncertainty_score":0.9999802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410641484412608,"score_gpt":0.2563653818904353,"score_spread":0.2422589670463092,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}